{"id":"W4253517092","doi":"10.1515/iupac.81.0534","title":"Loading","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001326934,0.0002632416,0.0002533926,0.00001652957,0.00004980173,0.00002065709,0.0003760563,0.000240889,0.0352815],"category_scores_gemma":[0.000176061,0.0002071354,0.00009586188,0.00009987719,0.0001137921,0.00006140858,0.0002970912,0.0003165348,0.00002070537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005707715,"about_ca_system_score_gemma":0.00003033239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003846726,"about_ca_topic_score_gemma":0.000030691,"domain_scores_codex":[0.9984851,0.000006946381,0.0002160865,0.0003655065,0.0006018572,0.000324441],"domain_scores_gemma":[0.9992588,0.00003836925,0.00007503115,0.0004526363,0.00001114936,0.0001640334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001181542,0.00003762371,0.000005668339,0.00004238861,0.00001276623,0.0000248841,0.000001841712,0.0000183628,0.00393478,2.83348e-7,0.9947696,0.001139963],"study_design_scores_gemma":[0.0002164363,0.00001416635,0.000004466951,0.0001313422,0.00002400914,0.00001125816,0.000002109142,0.00001001608,0.003920026,0.00004415811,0.995325,0.0002970677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004151673,0.00006802296,0.00009409859,0.0001184746,0.0001841594,0.00005489877,0.9983911,0.00005338918,0.0006206835],"genre_scores_gemma":[0.0001494094,0.0001283815,0.00003761717,0.00009387099,0.0004194474,0.000005063334,0.9984232,0.00001999692,0.0007229885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0352608,"threshold_uncertainty_score":0.9656004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147506895345962,"score_gpt":0.3234316735969585,"score_spread":0.3172841667016125,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}